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DBMS > Ehcache vs. Elasticsearch vs. Fujitsu Enterprise Postgres vs. MarkLogic

System Properties Comparison Ehcache vs. Elasticsearch vs. Fujitsu Enterprise Postgres vs. MarkLogic

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonElasticsearch  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonMarkLogic  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Operational and transactional Enterprise NoSQL database
Primary database modelKey-value storeSearch engineRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.79
Rank#66  Overall
#8  Key-value stores
Score128.79
Rank#8  Overall
#1  Search engines
Score0.22
Rank#304  Overall
#137  Relational DBMS
Score4.15
Rank#70  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#8  Search engines
Websitewww.ehcache.orgwww.elastic.co/­elasticsearchwww.postgresql.fastware.comwww.progress.com/­marklogic
Technical documentationwww.ehcache.org/­documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.postgresql.fastware.com/­product-manualswww.progress.com/­marklogic/­documentation
DeveloperTerracotta Inc, owned by Software AGElasticPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyMarkLogic Corp.
Initial release200920102001
Current release3.10.0, March 20228.6, January 2023Fujitsu Enterprise Postgres 14, January 202211.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoElastic Licensecommercialcommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaCC++
Server operating systemsAll OS with a Java VMAll OS with a Java VMLinux
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesschema-free infoSchema can be enforced
Typing infopredefined data types such as float or dateyesyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonoyes
Secondary indexesnoyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLnoSQL-like query languageyesyes infoSQL92
APIs and other access methodsJCacheJava API
RESTful HTTP/JSON API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Supported programming languagesJava.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesuser defined functionsyes infovia XQuery or JavaScript
Triggersyes infoCache Event Listenersyes infoby using the 'percolation' featureyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerShardingpartitioning by range, list and by hashSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServeryesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectornoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Eventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourcenoACIDACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesMemcached and Redis integrationyes, with Range Indexes
User concepts infoAccess controlnofine grained access rights according to SQL-standardRole-based access control at the document and subdocument levels

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More resources
EhcacheElasticsearchFujitsu Enterprise PostgresMarkLogic
DB-Engines blog posts

PostgreSQL is the DBMS of the Year 2017
2 January 2018, Paul Andlinger, Matthias Gelbmann

Elasticsearch moved into the top 10 most popular database management systems
3 July 2017, Matthias Gelbmann

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

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Conferences, events and webinars

Progress MarkLogic World
Washington DC, 23-25 September 2024 (finished)

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